---
license: apache-2.0
base_model: google/electra-base-discriminator
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: electra_multiple_choice
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# electra_multiple_choice

This model is a fine-tuned version of [google/electra-base-discriminator](https://huggingface.co/google/electra-base-discriminator) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4645
- Accuracy: 0.498

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.5522        | 1.0   | 375  | 1.4354          | 0.456    |
| 1.3851        | 2.0   | 750  | 1.3471          | 0.468    |
| 1.2672        | 3.0   | 1125 | 1.2887          | 0.486    |
| 1.1756        | 4.0   | 1500 | 1.2594          | 0.506    |
| 1.0738        | 5.0   | 1875 | 1.2746          | 0.508    |
| 0.9818        | 6.0   | 2250 | 1.3388          | 0.508    |
| 0.8955        | 7.0   | 2625 | 1.3723          | 0.502    |
| 0.8209        | 8.0   | 3000 | 1.3901          | 0.496    |
| 0.7445        | 9.0   | 3375 | 1.4645          | 0.498    |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3